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Fundamental Algorithms in BioinformaticsEpisode from the podcastFundamental Algorithms in Bioinformatics
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Lecture 30: Maximum Parsimony and minimum mutation methods

Lecture 30: Maximum Parsimony and minimum mutation methods

Released Sunday, 31st January 2010
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Lecture 30: Maximum Parsimony and minimum mutation methods

Lecture 30: Maximum Parsimony and minimum mutation methods

Lecture 30: Maximum Parsimony and minimum mutation methods

Lecture 30: Maximum Parsimony and minimum mutation methods

Sunday, 31st January 2010
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This course covers fundamental algorithms for efficient analysis of biological sequences and for building evolutionary trees. This is an undergraduate course focusing on the ideas and concepts behind the most central algorithms in biological sequence analysis. Dynamic Programming, Alignment, Hidden Markov Models, Statistical Analysis are emphasized.

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